Skin Microbiome Patterns Associated with Basal Cell Carcinoma: A Case Series
Mavra Masood1, David Ozog2, Tengfei Ma3
1Department of Dermatology, Virginia Commonwealth University Health System, Richmond, VA 23298, USA.
Microorganisms
|May 4, 2026
Summary
Basal cell carcinoma (BCC) skin lesions show reduced microbial diversity and altered bacterial composition, including less Cutibacterium acnes. These findings suggest a unique skin microbiome signature associated with BCC tumors.
Area of Science:
- Dermatology
- Microbiology
- Genomics
Background:
- Basal cell carcinoma (BCC) is the most prevalent human malignancy.
- The role of the skin microbiome in BCC development is not well understood.
Purpose of the Study:
- To investigate the differences in the cutaneous microbiome between BCC lesions, perilesional skin, and healthy control skin.
- To identify specific microbial alterations associated with BCC.
Main Methods:
- Whole-genome shotgun sequencing was employed for microbial analysis.
- An intra-patient, multi-site sampling design compared BCC lesions with matched perilesional and control skin.
- Statistical analyses included diversity metrics (Chao1), community composition analysis (PERMANOVA), and species-level abundance comparisons.
Main Results:
- BCC lesions exhibited significantly reduced microbial richness (lower Chao1 diversity) compared to control skin.
- Distinct shifts in microbial community composition were observed in BCC samples.
- Cutibacterium acnes abundance was significantly lower in BCC lesions, with an approximate 27% reduction.
- Functional profiling indicated differential representation of metabolic pathways related to redox balance and lipid metabolism in BCC samples.
Conclusions:
- BCC lesions are characterized by localized alterations in microbial diversity, composition, and inferred functional potential.
- A tumor-associated microbiome signature may be present in BCC.
- Further research in larger cohorts is necessary to determine the causal role of these microbial changes in BCC development or their adaptation to the tumor microenvironment.
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